This paper deals with the quadrature amplitude modulation (qam) problem for the multiple-input multiple-output (MIMO) channel. Based on the maximum likelihood estimation, the qamdetection problem is formulated as an ...
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ISBN:
(纸本)9781479952557
This paper deals with the quadrature amplitude modulation (qam) problem for the multiple-input multiple-output (MIMO) channel. Based on the maximum likelihood estimation, the qamdetection problem is formulated as an integer quadratic programming, which is a combinatorial problem and difficult to obtain exact solutions. In order to overcome combinatorial difficulties, this paper formulates the qamdetection problem as the l(o) norm minimization problem and relaxes it into a quadratic programming with the l(1) norm regularization. Utilizing and modifying the forward-backward splitting (FOBOS) algorithm, a new qam detection algorithm is proposed. This algorithm has a trade-off between the computational cost and the detection accuracy, which depends on a parameter of the algorithm. Numerical simulations show that the proposed algorithm works well and achieves a good detection performance with less computational cost comparing with the semidefinite relaxation (SDR) based algorithm.
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